Result Detail – Kruskal Wallis Help

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Result Information
Result ID
185
Type
Kruskal Wallis
Status
completed
Dataset ID
705
Created
2026-09-21 02:16:37.688121
Statistical Test Result Help
Test
kruskal wallis
Statistic
58.2062
p-value
1.42e-12
Interpretation
significant Significant at alpha=0.05 (p=1.42e-12).
Value Column
value
Group Column
group
Groups
control (n=25) high (n=25) low (n=25) mid (n=25)
Effect size
epsilon squared = 0.5751
Assumptions
  • Shapiro-Wilk, group control: W=0.9645, p=0.51 — normal
  • Shapiro-Wilk, group high: W=0.9855, p=0.9688 — normal
  • Shapiro-Wilk, group low: W=0.9784, p=0.8518 — normal
  • Shapiro-Wilk, group mid: W=0.9481, p=0.2275 — normal
  • Levene's test (equal variances): p=0.5163
Group descriptives
GroupnMeanSDMedianMinMax
control 25 10.1641 1.0121 10.0977 7.8761 12.1898
high 25 13.6068 0.8771 13.4861 11.9326 15.6286
low 25 10.4711 0.9953 10.4470 8.6869 12.2762
mid 25 11.0452 1.1794 11.4454 8.7608 12.8607
Interactive group boxplot
Post-hoc pairwise comparisons dunn bonferroni Help
Group AGroup BMean diffp (adjusted)Significant
control high -56.9600 2.327e-11 yes
control low -6.3200 1 no
control mid -17.4400 0.2013 no
high low 50.6400 4.063e-09 yes
high mid 39.5200 8.78e-06 yes
low mid -11.1200 1 no
Figures
Distribution by group — epsilon squared = 0.575 Download PNG
Distribution by group — epsilon squared = 0.575
Group means (95% CI) Download PNG
Group means (95% CI)
Pathway Analysis (same dataset) Help
Run Pathway Analysis

Method & Provenance

Method
Kruskal-Wallis H test
Method key
kruskal_wallis (result type: statistical_test, result #185)
Engine
Python · scipy v1.17.1
Dataset(s)
#705 gallery — example_posthoc.csv
Status
completed
Permanent link
https://cat-g-omxpert.wishartlab.com/results/by-token/460cb7b064cc46bd994725312267c267 Bookmark or share this URL — it does not depend on your session.
Created
2026-09-21 02:16:37.688121

Parameters used

ParameterValue
test_type kruskal_wallis
value_col value
group_col group

Execution trace

Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made. 

from scipy import stats
stat, p = stats.kruskal(*groups)